User | Estudio-Iron |
Upload Date | August 18 2024 06:31 PM |
Views | 12 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 4090 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Micro-Star International Co., Ltd. MS-7E06 |
Motherboard | Micro-Star International Co., Ltd. PRO Z790-P WIFI (MS-7E06) |
Power Plan | Alto rendimiento |
CPU Information | |
---|---|
Name | Intel Core i7-12700KF |
Topology | 1 Processor, 12 Cores, 20 Threads |
Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
Base Frequency | 3.60 GHz |
Cluster 1 | 8 Cores |
Cluster 2 | 4 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
13040
2.42 KIPS |
|
Image Classification (HP)
|
99% |
16832
3.14 KIPS |
|
Image Classification (Q)
|
100% |
10919
2.03 KIPS |
|
Image Segmentation (SP)
|
100% |
18525
300.3 IPS |
|
Image Segmentation (HP)
|
100% |
21726
352.2 IPS |
|
Image Segmentation (Q)
|
98% |
17512
284.8 IPS |
|
Pose Estimation (SP)
|
100% |
298093
347.8 IPS |
|
Pose Estimation (HP)
|
100% |
510919
596.2 IPS |
|
Pose Estimation (Q)
|
97% |
262366
307.2 IPS |
|
Object Detection (SP)
|
100% |
17104
1.36 KIPS |
|
Object Detection (HP)
|
100% |
21605
1.71 KIPS |
|
Object Detection (Q)
|
89% |
14680
1.18 KIPS |
|
Face Detection (SP)
|
100% |
42443
504.3 IPS |
|
Face Detection (HP)
|
100% |
50751
603.0 IPS |
|
Face Detection (Q)
|
97% |
36591
436.3 IPS |
|
Depth Estimation (SP)
|
100% |
91397
704.2 IPS |
|
Depth Estimation (HP)
|
99% |
152449
1.17 KIPS |
|
Depth Estimation (Q)
|
75% |
66561
537.3 IPS |
|
Style Transfer (SP)
|
100% |
544617
700.1 IPS |
|
Style Transfer (HP)
|
100% |
1012849
1.30 KIPS |
|
Style Transfer (Q)
|
98% |
470202
606.3 IPS |
|
Image Super-Resolution (SP)
|
100% |
57074
2.11 KIPS |
|
Image Super-Resolution (HP)
|
100% |
74963
2.77 KIPS |
|
Image Super-Resolution (Q)
|
99% |
42452
1.57 KIPS |
|
Text Classification (SP)
|
100% |
3583
4.78 KIPS |
|
Text Classification (HP)
|
99% |
4047
5.40 KIPS |
|
Text Classification (Q)
|
97% |
2106
2.82 KIPS |
|
Machine Translation (SP)
|
100% |
4234
72.9 IPS |
|
Machine Translation (HP)
|
100% |
4233
72.9 IPS |
|
Machine Translation (Q)
|
60% |
1954
43.6 IPS |